* Change enable/disable behavior so that arguments take precedence over config options. Extend error message on conflict. Add warning message in case of overwriting config option with arguments.
* Fix tests in test_serialize_pipeline.py to reflect changes to handling of enable/disable.
* Fix type issue.
* Move comment.
* Move comment.
* Issue UserWarning instead of printing wasabi message. Adjust test.
* Added pytest.warns(UserWarning) for expected warning to fix tests.
* Update warning message.
* Move type handling out of fetch_pipes_status().
* Add global variable for default value. Use id() to determine whether used values are default value.
* Fix default value for disable.
* Rename DEFAULT_PIPE_STATUS to _DEFAULT_EMPTY_PIPES.
Preserve both `-` and `O` annotation in augmenters rather than relying
on `Example.to_dict`'s default support for one option outside of labeled
entity spans.
This is intended as a temporary workaround for augmenters for v3.4.x.
The behavior of `Example` and related IOB utils could be improved in the
general case for v3.5.
* Remove side effects from Doc.__init__()
* Changes based on review comment
* Readd test
* Change interface of Doc.__init__()
* Simplify test
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update doc.md
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Enable Cython<->Python bindings for `Pipe` and `TrainablePipe` methods
* `pipes_with_nvtx_range`: Skip hooking methods whose signature cannot be ascertained
When loading pipelines from a config file, the arguments passed to individual pipeline components is validated by `pydantic` during init. For this, the validation model attempts to parse the function signature of the component's c'tor/entry point so that it can check if all mandatory parameters are present in the config file.
When using the `models_and_pipes_with_nvtx_range` as a `after_pipeline_creation` callback, the methods of all pipeline components get replaced by a NVTX range wrapper **before** the above-mentioned validation takes place. This can be problematic for components that are implemented as Cython extension types - if the extension type is not compiled with Python bindings for its methods, they will have no signatures at runtime. This resulted in `pydantic` matching the *wrapper's* parameters with the those in the config and raising errors.
To avoid this, we now skip applying the wrapper to any (Cython) methods that do not have signatures.
* new error message when 'project run assets'
* new error message when 'project run assets'
* Update spacy/cli/project/run.py
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Due to problems with the javascript conversion in the website
quickstart, remove the `has_letters` setting to simplify generating
`attrs` for the default `tok2vec`.
Additionally reduce `PREFIX` as in the trained pipelines.
* Add a dry run flag to download
* Remove --dry-run, add --url option to `spacy info` instead
* Make mypy happy
* Print only the URL, so it's easier to use in scripts
* Don't add the egg hash unless downloading an sdist
* Update spacy/cli/info.py
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Add two implementations of requirements
* Clean up requirements sample slightly
This should make mypy happy
* Update URL help string
* Remove requirements option
* Add url option to docs
* Add URL to spacy info model output, when available
* Add types-setuptools to testing reqs
* Add types-setuptools to requirements
* Add "compatible", expand docstring
* Update spacy/cli/info.py
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Run prettier on CLI docs
* Update docs
Add a sidebar about finding download URLs, with some examples of the new
command.
* Add download URLs to table on model page
* Apply suggestions from code review
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Updates from review
* download url -> download link
* Update docs
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* `Matcher`: Better type checking of values in `SetPredicate`
`SetPredicate`: Emit warning and return `False` on unexpected value types
* Rename `value_type_mismatch` variable
* Inline warning
* Remove unexpected type warning from `_SetPredicate`
* Ensure that `str` values are not interpreted as sequences
Check elements of sequence values for convertibility to `str` or `int`
* Add more `INTERSECT` and `IN` test cases
* Test for inputs with multiple characters
* Return `False` early instead of using a boolean flag
* Remove superfluous `int` check, parentheses
* Apply suggestions from code review
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Appy suggestions from code review
* Clarify test comment
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* adding unit test for spacy.load with disable/exclude string arg
* allow pure strings in from_config
* update docs
* upstream type adjustements
* docs update
* make docstring more consistent
* Update spacy/language.py
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* two more cleanups
* fix type in internal method
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Fix `test_{prefer,require}_gpu`
These tests assumed that GPUs are only supported with CuPy, but since Thinc 8.1
we also support Metal Performance Shaders.
* test_misc: arrange thinc imports to be together
* Add lang folder for la (Latin)
* Add Latin lang classes
* Add minimal tokenizer exceptions
* Add minimal stopwords
* Add minimal lex_attrs
* Update stopwords, tokenizer exceptions
* Add la tests; register la_tokenizer in conftest.py
* Update spacy/lang/la/lex_attrs.py
Remove duplicate form in Latin lex_attrs
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Update natto-py version spec (#11222)
* Update natto-py version spec
* Update setup.cfg
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Add scorer to textcat API docs config settings (#11263)
* Update docs for pipeline initialize() methods (#11221)
* Update documentation for dependency parser
* Update documentation for trainable_lemmatizer
* Update documentation for entity_linker
* Update documentation for ner
* Update documentation for morphologizer
* Update documentation for senter
* Update documentation for spancat
* Update documentation for tagger
* Update documentation for textcat
* Update documentation for tok2vec
* Run prettier on edited files
* Apply similar changes in transformer docs
* Remove need to say annotated example explicitly
I removed the need to say "Must contain at least one annotated Example"
because it's often a given that Examples will contain some gold-standard
annotation.
* Run prettier on transformer docs
* chore: add 'concepCy' to spacy universe (#11255)
* chore: add 'concepCy' to spacy universe
* docs: add 'slogan' to concepCy
* Support full prerelease versions in the compat table (#11228)
* Support full prerelease versions in the compat table
* Fix types
* adding spans to doc_annotation in Example.to_dict (#11261)
* adding spans to doc_annotation in Example.to_dict
* to_dict compatible with from_dict: tuples instead of spans
* use strings for label and kb_id
* Simplify test
* Update data formats docs
Co-authored-by: Stefanie Wolf <stefanie.wolf@vitecsoftware.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Fix regex invalid escape sequences (#11276)
* Add W605 to the errors raised by flake8 in the CI (#11283)
* Clean up automated label-based issue handling (#11284)
* Clean up automated label-based issue handline
1. upgrade tiangolo/issue-manager to latest
2. move needs-more-info to tiangolo
3. change needs-more-info close time to 7 days
4. delete old needs-more-info config
* Use old, longer message
* Fix label name
* Fix Dutch noun chunks to skip overlapping spans (#11275)
* Add test for overlapping noun chunks
* Skip overlapping noun chunks
* Update spacy/tests/lang/nl/test_noun_chunks.py
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Docs: displaCy documentation - data types, `parse_{deps,ents,spans}`, spans example (#10950)
* add in spans example and parse references
* rm autoformatter
* rm extra ents copy
* TypedDict draft
* type fixes
* restore non-documentation files
* docs update
* fix spans example
* fix hyperlinks
* add parse example
* example fix + argument fix
* fix api arg in docs
* fix bad variable replacement
* fix spacing in style
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* fix spacing on table
* fix spacing on table
* rm temp files
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* include span_ruler for default warning filter (#11333)
* Add uk pipelines to website (#11332)
* Check for . in factory names (#11336)
* Make fixes for PR #11349
* Fix roman numeral coverage in #11349
Co-authored-by: Patrick J. Burns <patricks@diyclassics.org>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
Co-authored-by: Lj Miranda <12949683+ljvmiranda921@users.noreply.github.com>
Co-authored-by: Jules Belveze <32683010+JulesBelveze@users.noreply.github.com>
Co-authored-by: stefawolf <wlf.ste@gmail.com>
Co-authored-by: Stefanie Wolf <stefanie.wolf@vitecsoftware.com>
Co-authored-by: Peter Baumgartner <5107405+pmbaumgartner@users.noreply.github.com>
* Add token and span custom attributes to to_json()
* Change logic for to_json
* Add functionality to from_json
* Small adjustments
* Move token/span attributes to new dict key
* Fix test
* Fix the same test but much better
* Add backwards compatibility tests and adjust logic
* Add test to check if attributes not set in underscore are not saved in the json
* Add tests for json compatibility
* Adjust test names
* Fix tests and clean up code
* Fix assert json tests
* small adjustment
* adjust naming and code readability
* Adjust naming, added more tests and changed logic
* Fix typo
* Adjust errors, naming, and small test optimization
* Fix byte tests
* Fix bytes tests
* Change naming and json structure
* update schema
* Update spacy/schemas.py
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update spacy/tokens/doc.pyx
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update spacy/tokens/doc.pyx
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update spacy/schemas.py
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update schema for underscore attributes
* Adjust underscore schema
* adjust schema tests
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* adding spans to doc_annotation in Example.to_dict
* to_dict compatible with from_dict: tuples instead of spans
* use strings for label and kb_id
* Simplify test
* Update data formats docs
Co-authored-by: Stefanie Wolf <stefanie.wolf@vitecsoftware.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* add additional REL_OP
* change to condition and new rel_op symbols
* add operators to docs
* add the anchor while we're in here
* add tests
Co-authored-by: Peter Baumgartner <5107405+pmbaumgartner@users.noreply.github.com>
After the precomputable affine table of shape [nB, nF, nO, nP] is
computed, padding with shape [1, nF, nO, nP] is assigned to the first
row of the precomputed affine table. However, when we are indexing the
precomputed table, we get a row of shape [nF, nO, nP]. CuPy versions
before 10.0 cannot paper over this shape difference.
This change fixes compatibility with CuPy < 10.0 by squeezing the first
dimension of the padding before assignment.
* precompute_hiddens/Parser: do not look up CPU ops
`get_ops("cpu")` is quite expensive. To avoid this, we want to cache the
result as in #11068. However, for 3.x we do not want to change the ABI.
So we avoid the expensive lookup by using NumpyOps. This should have a
minimal impact, since `get_ops("cpu")` was only used when the model ops
were `CupyOps`. If the ops are `AppleOps`, we are still passing through
the correct BLAS implementation.
* _NUMPY_OPS -> NUMPY_OPS
* `strings`: More roubust type checking of keys/IDs, coerce `int`-like types to `hash_t`
* Preserve existing public API behaviour
* Fix return type
* Replace `bool` with `bint`, rename to `_try_coerce_to_hash`, replace `id` with `hash`
* Avoid unnecessary re-encoding and re-calculation of strings and hashs respectively
* Rename variables named `hash`
Add comment on early return
* `TrainablePipe`: Add NVTX range decorator
* Annotate `TrainablePipe` subclasses with NVTX ranges
* Export function signature to allow introspection of args in tests
* Revert "Annotate `TrainablePipe` subclasses with NVTX ranges"
This reverts commit d8684f7372.
* Revert "Export function signature to allow introspection of args in tests"
This reverts commit f4405ca3ad.
* Revert "`TrainablePipe`: Add NVTX range decorator"
This reverts commit 26536eb6b8.
* Add `spacy.pipes_with_nvtx_range` pipeline callback
* Show warnings for all missing user-defined pipe functions that need to be annotated
Fix imports, typos
* Rename `DEFAULT_ANNOTATABLE_PIPE_METHODS` to `DEFAULT_NVTX_ANNOTATABLE_PIPE_METHODS`
Reorder import
* Walk model nodes directly whilst applying NVTX ranges
Ignore pipe method wrapper when applying range
* Min_max_operators
1. Modified API and Usage for spaCy website to include min_max operator
2. Modified matcher.pyx to include min_max function {n,m} and its variants
3. Modified schemas.py to include min_max validation error
4. Added test cases to test_matcher_api.py, test_matcher_logic.py and test_pattern_validation.py
* attempt to fix mypy/pydantic compat issue
* formatting
* Update spacy/tests/matcher/test_pattern_validation.py
Co-authored-by: Source-Shen <82353723+Source-Shen@users.noreply.github.com>
Co-authored-by: svlandeg <svlandeg@github.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
